License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2018.5
URN: urn:nbn:de:0030-drops-97945
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9794/
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Afek, Yehuda ; Rafaeli, Shaked ; Sulamy, Moshe

The Role of A-priori Information in Networks of Rational Agents

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Abstract

Until now, distributed algorithms for rational agents have assumed a-priori knowledge of n, the size of the network. This assumption is challenged here by proving how much a-priori knowledge is necessary for equilibrium in different distributed computing problems. Duplication - pretending to be more than one agent - is the main tool used by agents to deviate and increase their utility when not enough knowledge about n is given.
We begin by proving that when no information on n is given, equilibrium is impossible for both Coloring and Knowledge Sharing. We then provide new algorithms for both problems when n is a-priori known to all agents. However, what if agents have partial knowledge about n? We provide tight upper and lower bounds that must be a-priori known on n for equilibrium to be possible in Leader Election, Knowledge Sharing, Coloring, Partition and Orientation.

BibTeX - Entry

@InProceedings{afek_et_al:LIPIcs:2018:9794,
  author =	{Yehuda Afek and Shaked Rafaeli and Moshe Sulamy},
  title =	{{The Role of A-priori Information in Networks of Rational Agents}},
  booktitle =	{32nd International Symposium on Distributed Computing  (DISC 2018)},
  pages =	{5:1--5:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-092-7},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{121},
  editor =	{Ulrich Schmid and Josef Widder},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9794},
  URN =		{urn:nbn:de:0030-drops-97945},
  doi =		{10.4230/LIPIcs.DISC.2018.5},
  annote =	{Keywords: rational agents, distributed game theory, coloring, knowledge sharing}
}

Keywords: rational agents, distributed game theory, coloring, knowledge sharing
Collection: 32nd International Symposium on Distributed Computing (DISC 2018)
Issue Date: 2018
Date of publication: 04.10.2018

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